Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 has the cleaner overall profile here, landing at 66 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeekMath V2's sharpest advantage is in mathematics, where it averages 84 against 75. The single biggest benchmark swing on the page is MMMU-Pro, 64 to 80. Seed-2.0-Lite does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
DeepSeekMath V2 is the reasoning model in the pair, while Seed-2.0-Lite is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for DeepSeekMath V2.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
DeepSeekMath V2
63.9
Seed-2.0-Lite
55.1
DeepSeekMath V2
47.3
Seed-2.0-Lite
41.4
DeepSeekMath V2
68.1
Seed-2.0-Lite
79.6
DeepSeekMath V2
75.9
Seed-2.0-Lite
73
DeepSeekMath V2
61
Seed-2.0-Lite
53.9
DeepSeekMath V2
83
Seed-2.0-Lite
89
DeepSeekMath V2
82.5
Seed-2.0-Lite
82.5
DeepSeekMath V2
84
Seed-2.0-Lite
75
DeepSeekMath V2 is ahead overall, 66 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 64 and 80.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 and Seed-2.0-Lite are effectively tied for multilingual tasks here, both landing at 82.5 on average.
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